Localstore/IDB
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Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP
We examine task mapping algorithms for systems that allocate jobs non-contiguously. Several studies have shown that task placement affects job running time. We focus on jobs with a stencil communication pattern and use experiments on a Cray XE to evaluate novel task mapping algorithms as well as some adapted to this setting. This is done with the miniGhost miniApp which mimics the behavior of CTH, a shock physics application. Our strategies improve average and single-run times by as much as 28% and 36% over a baseline strategy, respectively.
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SIAM/ASA Journal on Uncertainty Quantification
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